From e28c47dbb5b41b6f696fc5bf7426ce275f9b79eb Mon Sep 17 00:00:00 2001
From: auphelia <jakobapk@web.de>
Date: Wed, 27 Nov 2019 15:09:34 +0000
Subject: [PATCH] [Test] Added no activation cases for all ternary and all
signed
---
.../fpgadataflow/test_fpgadataflow_fclayer.py | 30 ++++---------------
1 file changed, 6 insertions(+), 24 deletions(-)
diff --git a/tests/fpgadataflow/test_fpgadataflow_fclayer.py b/tests/fpgadataflow/test_fpgadataflow_fclayer.py
index 969c72b28..69a6781f9 100644
--- a/tests/fpgadataflow/test_fpgadataflow_fclayer.py
+++ b/tests/fpgadataflow/test_fpgadataflow_fclayer.py
@@ -136,34 +136,16 @@ def test_fpgadataflow_fclayer_ibp_wbp_noact():
# no act - all signed
def test_fpgadataflow_fclayer_ibint2_wbint2_noact():
- mh = 8
- mw = 8
wdt = idt = DataType.INT2
odt = DataType.INT32
- # generate weights
- W = gen_FINN_dt_tensor(wdt, [mh, mw])
- # generate input data
- x = gen_FINN_dt_tensor(idt, mw)
-
- # set up layers with different pe and simd
- pe_values = [1, int(mh/2), mh]
- simd_values = [1, int(mw/2), mw]
- for pe in pe_values:
- for simd in simd_values:
- model = make_single_fclayer_modelwrapper(W, pe, simd, wdt, idt, odt)
- # prepare input data
- input_dict = prepare_inputs(model, x, idt)
+ create_noativation_testcases(idt, wdt, odt)
- # execute model
- produced = oxe.execute_onnx(model, input_dict)["outp"]
+# no act - all ternary
- # expected output
- oshape = model.get_tensor_shape("outp")
- y = np.dot(Wb, xb).reshape(oshape.shape)
- # XnorMul produces positive outputs only, adjust expectation accordingly
- expected = 2 * y - mw
-
- assert (produced.reshape(expected.shape) == expected).all()
+def test_fpgadataflow_fclayer_ibt_wbt_noact():
+ wdt = idt = DataType.TERNARY
+ odt = DataType.INT32
+ create_noativation_testcases(idt, wdt, odt)
--
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